AINewsnow

An AI meant to learn from its mistakes exploited a mistake in the test

This story is from 2026-09-17. It is preserved in the archive; the latest stories are on the live feed.

Developers can improve artificial intelligence systems in various ways. The most common practice is to retrain models on custom datasets to help them get better at performing specific tasks. But retraining and fine-tuning AI systems is notoriously expensive. That is why the AI startup Sentient Labs…

Read the full story at The Next Web ↗

Timeline · 1 report

  1. 2026-09-17 09:43 · The Next Web
    An AI meant to learn from its mistakes exploited a mistake in the test

More stories

  1. Google Joins OpenAI, Anthropic, Meta in Disclosing AI Hacks — Bloomberg AI
  2. Alibaba ships Qwen3.8-Omni-Flash to watch, listen and call tools — r/LocalLLM
  3. Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
  4. Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
  5. Introducing Astra for Law — OpenAI News
  6. Newsom signs executive order to explore new AI rules, consider ‘kill switch’ — Politico Technology
  7. Anthropic, OpenAI, SpaceXAI, Google sued over call to ‘pace’ AI development — Politico Technology
  8. Sources: Anthropic considers releasing a new AI model to counter OpenAI's momentum since Astra's launch, ahead of an IPO and after Amodei's call for a slowdown (Reuters) — Techmeme

Get the daily brief of stories like this at 6:30 every morning →